Solutions

LEVIATAN publishes multi-sector and multi-industry solutions. We set out to translate your business needs into concrete, unique and customised developments. Find out what we can offer your sector and your industry.

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SME & Midcaps

Automatic Legal Document Analysis (A.L.D.A.)

Automatic Legal Document Analysis (A.L.D.A.) is a technology allowing the automatic analysis of legal documents using the model of relevance calculation between a question and a context for reading comprehension.

This technology is used by corporate lawyers as part of the legal document analysis process.

In practical terms, the A.L.D.A. automatic legal document analysis system is designed to be presented via a man-machine interface allowing the automatic recognition of the type of legal document (commercial lease, employment contract, energy contract, etc.), the understanding and interpretation of a contractual unit composed of an initial contract and its amendments, and the detection of complex legal clauses.

This solution was developed to meet a demand form the French market leader to optimise purchasing performance. It is also used as a « productivity tool » in other fields of application.

Automatic Resume Extraction and Analyses Technology (A.R.E.A.T.)

Automatic Resume Extraction and Analyses Technology (A.R.E.A.T.) is an automatic resume analysis system.
This technology is used in the process of analysing and matching candidates with job offers in the human resources departments of companies, communities and other recruitment platforms.
In practical terms, the automatic resume extraction and analysis system allows:
- Recognition of the different information zones of a resume (professional experiences, training courses, skills, personal information, etc.) whatever its ergonomics via an artificial vision algorithm.
- Extraction and structured storage of raw data from resumes in their various formats (text files, pdf, images, etc.).
- Reconciliation of the extracted and structured data from resumes with data from job offers via an artificial classification algorithm.

This solution was developed to meet the needs of the leader in real estate recruitment in France.

Automatic Textual Content Qualification Technology (A.T.C.Q.T.)

Automatic Textual Content Qualification Technology (A.T.C.Q.T.) is a technology that allows the automatic qualification of textual content.

In practical terms, this technology allows the automatic qualification of content derived from a whole range of data sources and automatic taxonomy generation.

In practice, the system of automatic qualification of textual contents allows:
- Extraction of textual data from web sites.
- Generation of a hierarchical list of keywords allowing the qualification of the source website.

Thanks to this technology, service providers can generate precise information from poorly qualified data in order to deduce the consumer profile and needs.

Automatic Processing of Medical Images (A.P.M.I.)

Automatic Processing of Medical Images (A.P.M.I.) is an automatic medical image analysis system based on convolutional neural networks. A.P.M.I. is used in the medical imaging analysis process of medical radiology technicians.

In practical terms, the A.P.M.I. automatic medical image analysis system is designed to be interfaced directly with the scanners of hospitals and clinics in order to provide an immediate diagnosis for one or more pathologies and to provide diagnostic assistance to medical radiology technicians.
This project aims to extend the automatic analysis to a whole range of pathologies. Technological objectives:
- Development of a complex set of self-learning algorithms for pathology analysis.
- Development of a medical imaging data structuring system.
- Development of an intuitive platform for automatic medical image analysis.

Operational objectives: - Assistance in the identification of pathologies in a few milliseconds.
- Improvement of the detection of numerous pathologies (cancer, stroke, sarcopenia, etc.).

This project was hatched as part of a partnership between Leviatan and a private clinic, more specifically in the analysis of bleeding in the human brain.

PREDICT MARKET

Predict Market is an autonomous neural network based crypto asset price prediction and stock market price calculation system.

Predict Market supports the chartist analysis process of traders by predicting high and low closing values over different time periods, from 1 minute to 1 day with an average accuracy level of 98.6% to 99.8%.

Predict Market’s price prediction technology offers a very advanced level of autonomy with dynamic generation of database architectures, automatic adjustment of its neural network super-parameters, as well as the ability to self-evaluate and automatically retrain its neural networks.

In practical terms, the Predict Market system is designed to be presented via an enhanced trading interface that offers new prediction indicators.

BUSINESS PROJECT MANAGEMENT

Within the framework of the digitalisation of customer processes, LEVIATAN has created an innovative platform that provides a transversal vision of the entire activity, an organisational tool, and a structure for business process management and budget monitoring. This « backbone » will serve as the basis for the digitalisation of the company’s processes.

Tasks can be planned and executed in one place, projects organised and an effective and seamless planning created.

This business management solution enables companies to control all aspects of their business. Create structures and measure team workload, manage projects, clients and much more. Facilitate and boost collaboration between employees while helping them prioritise their tasks..

It was developed to meet the demand of many service companies on the lookout for a simple, user-friendly, efficient and flexible digitalisation platform.

Productivity tools (LEVIATAN INSIDE)

As part of the integration of Artificial Intelligence tools, LEVIATAN has developed a productivity tool for an integrated risk management solution platform. The solution proposes an automatic document analysis technology using the model of relevance calculation between a question or criteria and a context for natural language understanding.

In its application, the classification analysis and processing system is designed to be integrated into a corporate governance and risk and compliance management solution. It allows, thanks to our Artificial Intelligence algorithms, the automatic recognition of legal document types, the understanding and interpretation of a contractual set composed of an initial contract and its amendments, and the detection of risks to feed the management tool.

This solution has been developed to be integrated as a productivity tool in a risk management solution, leader in France.